Analysis of partial least squares for pose-invariant face recognition

2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012

Volumn , Issue , 2012, Pages 331-338

  Fischer, Mika ^a   Ekenel, Hazim Kemal ^a,b   Stiefelhagen, Rainer ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ALIGNMENT METHODS; AUTOMATIC FACE RECOGNITION; BLOCK-BASED APPROACHES; DATA SETS; EXPERIMENTAL ANALYSIS; FACE REPRESENTATIONS; FEATURE EXTRACTION METHODS; FEATURE REPRESENTATION; GABOR FEATURE; INTENSITY VALUES; LOCAL PLS; OPTIMAL SIZE; PARTIAL LEAST SQUARE (PLS); POSE-INVARIANT FACE RECOGNITION; RECOGNITION RATES;

ALIGNMENT; BIOMETRICS; FEATURE EXTRACTION;

FACE RECOGNITION;

EID: 84871960303     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2012.6374597     Document Type: Conference Paper

References (10)

1. V. Blanz and T. Vetter. Face recognition based on fitting a 3D morphable model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9):1063-1074, Sept. 2003.
2. R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker. Multi-PIE. Image and Vision Computing, 28(5):807-813, May 2010.
3. A. Li, S. Shan, X. Chen, andW. Gao. Cross-pose face recognition based on partial least squares. Pattern Recognition Letters, 32(15):1948-1955, Nov. 2011.
4. A. Li, S. Shan, and W. Gao. Coupled bias-variance tradeoff for cross-pose face recognition. IEEE Transactions on Image Processing, 21(1):305-15, Jan. 2012.
5. C. Liu and H. Wechsler. Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition. IEEE Transactions on Image Processing, 11(4):467-76, Jan. 2002.
6. S. J. D. Prince, J. H. Elder, J. Warrell, and F. M. Felisberti. Tied factor analysis for face recognition across large pose differences. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(6):970-984, June 2008.
7. R. Rosipal and N. Krämer. Overview and recent advances in partial least squares. In Proc. Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop, Bohinj, Slovenia, 2005.
8. A. Sharma and D. W. Jacobs. Bypassing Synthesis: PLS for Face Recognition with Pose, Low-Resolution and Sketch. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2011.
9. A. Sharma, A. Kumar, H. Daume III, and D.W. Jacobs. Generalized Multiview Analysis: A Discriminative Latent Space. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Providence, USA, 2012.
10. X. Zhang and Y. Gao. Face recognition across pose: A review. Pattern Recognition, 42(11):2876-2896, Nov. 2009.